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Proceedings Paper

On generating automatic-object-extractable images
Author(s): Chee Sun Won
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Paper Abstract

Object segmentation and extraction play an important role in computer vision and recognition problems. Unfortunately, with current computing technologies, fully automatic object segmentation is not possible, but human intervention is needed for outlining the rough boundary of the object to be segmented. The goal of this paper is to make the object extraction automatic after the first semi-automatic segmentation. That is, once the semantically meaningful object such as a house or a human body is extracted from the image under human's guidance, an image manipulation technique is applied. There is no noticeable difference between the original and the manipulated images. However, the embedded signature by the image manipulation can be detected automatically to be used to differentiate the object from the background. The manipulated images, which is called automatic-object-extractible images, can be used to provide training images with the same object but various background images.

Paper Details

Date Published: 10 September 2007
PDF: 8 pages
Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 676410 (10 September 2007); doi: 10.1117/12.750536
Show Author Affiliations
Chee Sun Won, Dongguk Univ. (South Korea)


Published in SPIE Proceedings Vol. 6764:
Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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